David Bayer is a Site Reliability Engineer with 12+ years of experience designing and operating large-scale server applications and analyzing complex systems, currently driving reliability at Google from Oakland, CA. He blends deep production engineering skills with machine learning and statistical modeling to tackle scalability and observability challenges across distributed services. David’s background spans senior analytics engineering at Hi5 and long-form systems work at Critical Path and Sybase, giving him a strong foundation in both real-time services and backend infrastructure. Known for turning data-driven insights into reliable, production-ready systems, he pairs hands-on coding with project leadership to ship resilient platforms. An understated strength is his cross-disciplinary training—combining a BA from UC Berkeley with continued study—that informs pragmatic, research-informed engineering decisions.
13 years of coding experience
13 years of employment as a software developer
Bachelors of Arts, Bachelors of Arts at University of California, Berkeley
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